In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …

Mood disorders affect more than 300 million people worldwide and can cause devastating
consequences. Elderly people and patients with neurological conditions are particularly …

Human gait conveys significant information that can be used for identity recognition and
emotion recognition. Recent studies have focused more on gait identity recognition than …

Despite the increase in awareness and support for mental health, college students' mental
health is reported to decline every year in many countries. Several interactive technologies …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …

Electroencephalogram (EEG) emotion recognition based on a hybrid feature extraction
method in empirical mode decomposition domain combining with optimal feature selection …

Social scientists increasingly use video data, but large-scale analysis of its content is often
constrained by scarce manual coding resources. Upscaling may be possible with the …

Many areas in computer science are facing the need to analyze, quantify and reproduce
movements expressing emotions. This paper presents a systematic review of the intelligible …

Emotions are important in many aspects of human behavior. Emotions are displayed on
human faces, they are reflected in human memory, and they even influence human …